|
centerline extraction |
2 |
|
geometric landscape |
2 |
|
hybrid representations |
2 |
|
lattice tiling |
2 |
|
nonconvex |
2 |
|
nonconvex optimization |
2 |
|
phase retrieval |
2 |
|
phaseless measurements |
2 |
|
spline |
2 |
|
vessel segmentation |
2 |
|
wavelet |
2 |
|
(k, k)-sparse |
1 |
|
3d axis-symmetric object |
1 |
|
47b10; secondary 42c15 |
1 |
|
absolute continuity |
1 |
|
adaptive regularization |
1 |
|
adaptive tight frame |
1 |
|
admm |
1 |
|
algebraic rank |
1 |
|
algebraic variety |
1 |
|
almost periodic function |
1 |
|
alternating gradient descent |
1 |
|
alternating minimization |
1 |
|
analog-to-digital conversion |
1 |
|
analytic signal method |
1 |
|
angular synchronization |
1 |
|
anisotropic diffusion |
1 |
|
approximated minimal variance loss criterion |
1 |
|
approximation complexity |
1 |
|
approximation theory |
1 |
|
arousal |
1 |
|
art authentication |
1 |
|
asymptotically uniformly distributed |
1 |
|
audio source cancellation |
1 |
|
b-splines |
1 |
|
background audio source removal |
1 |
|
bandlimited functions |
1 |
|
bandlimited signals |
1 |
|
bayesian statistical modeling |
1 |
|
bayesian statistics |
1 |
|
bernolulli convolutions |
1 |
|
bernoulli convolution |
1 |
|
bernoulli convolutions |
1 |
|
besov spaces |
1 |
|
beta encoders |
1 |
|
beta expansions |
1 |
|
bilinear form |
1 |
|
biomedical signal analysis |
1 |
|
blind recovery |
1 |
|
blind source separation |
1 |
|
blind source separation (bss) |
1 |
|
blockchain |
1 |
|
bmo |
1 |
|
boost training strategy |
1 |
|
box spline |
1 |
|
buckley-leverett theory |
1 |
|
cantor measure |
1 |
|
cascade algorithm |
1 |
|
causal inference |
1 |
|
chemical management |
1 |
|
chirp signal |
1 |
|
classifier |
1 |
|
color saturation level |
1 |
|
color space |
1 |
|
combinatorial geometry |
1 |
|
compressed sensing |
1 |
|
compressive phase retrieval |
1 |
|
computational complexity |
1 |
|
computed tomography |
1 |
|
condition number |
1 |
|
conformational classification |
1 |
|
connectedness |
1 |
|
continued fraction |
1 |
|
contrast stretching |
1 |
|
convergence rate |
1 |
|
convex open set condition (cosc) |
1 |
|
convexity |
1 |
|
convolution |
1 |
|
convolution filter |
1 |
|
convolutive mixtures |
1 |
|
covid-19 pandemic |
1 |
|
cryo-em images |
1 |
|
cultural heritage |
1 |
|
cut index |
1 |
|
cut points |
1 |
|
cyclotomic polynomial |
1 |
|
cyclotomic polynomials |
1 |
|
data art |
1 |
|
data visualization |
1 |
|
data-driven tight frame |
1 |
|
deep learning |
1 |
|
deep neural networks |
1 |
|
deep relu networks |
1 |
|
deep ritz method |
1 |
|
deflation |
1 |
|
degenerate unmixing estimation technique (duet) |
1 |
|
determinant variety |
1 |
|
dictionary learning |
1 |
|
digit set |
1 |
|
digital humanities |
1 |
|
digital twin |
1 |
|
dilation matrix |
1 |
|
double average filter |
1 |
|
duality |
1 |
|
dust-like self-similar sets |
1 |
|
edge detection |
1 |
|
edge sparsity regularization |
1 |
|
elliptic equations |
1 |
|
embedding |
1 |
|
emd algorithm |
1 |
|
emotion estimate |
1 |
|
emotion recognition |
1 |
|
empirical mode decomposition |
1 |
|
empirical mode decomposition (emd) |
1 |
|
error decomposition |
1 |
|
euclidean algorithm |
1 |
|
eulerian graph |
1 |
|
evolution equations |
1 |
|
explicit coupling terms |
1 |
|
eye gaze |
1 |
|
fast fourier algorithms |
1 |
|
feature ranking |
1 |
|
feature subset |
1 |
|
finite frame |
1 |
|
finite type condition |
1 |
|
finiteimpulse response filter |
1 |
|
fourier analysis |
1 |
|
fourier transform |
1 |
|
fractal dimension |
1 |
|
fractal square |
1 |
|
fractional-order |
1 |
|
frame |
1 |
|
frames |
1 |
|
function character |
1 |
|
fusion |
1 |
|
fusion frames |
1 |
|
gabor basis |
1 |
|
gabor orthonormal bases |
1 |
|
gan |
1 |
|
generalized sierpinski carpets |
1 |
|
generalized sierpiński carpets |
1 |
|
generalized spectral initialization |
1 |
|
generating ifs |
1 |
|
generative adversarial networks |
1 |
|
gibbs phenomenon |
1 |
|
global average pooling |
1 |
|
global health system |
1 |
|
golden ratio |
1 |
|
graph convolutional network |
1 |
|
graph representation |
1 |
|
graph-directed sets |
1 |
|
hata graphs |
1 |
|
hausdorff dimension |
1 |
|
high order pde transform |
1 |
|
high-order ambiguity function |
1 |
|
high-pass filter |
1 |
|
higher dimensional sparse fft |
1 |
|
hilbert transform |
1 |
|
hilbert-huang transform |
1 |
|
householder matrix |
1 |
|
human development index |
1 |
|
human-computer interaction (hci) |
1 |
|
hypotenuse graph |
1 |
|
idempotent theorem |
1 |
|
ifs |
1 |
|
ill-posed inverse problem |
1 |
|
image denoising |
1 |
|
image enhancement |
1 |
|
image processing. |
1 |
|
image segmentation |
1 |
|
image understanding |
1 |
|
imaging equation |
1 |
|
impact dynamics analysis |
1 |
|
implicit priors |
1 |
|
in-situ x-ray ct |
1 |
|
independence over the rationals |
1 |
|
information extraction |
1 |
|
informationally complete |
1 |
|
instantaneous frequency |
1 |
|
interleaved sampling |
1 |
|
internet of things (iot) |
1 |
|
intrinsic mode function |
1 |
|
intrinsicmode functions |
1 |
|
iterated function system |
1 |
|
iterated functions system |
1 |
|
iteration |
1 |
|
iterative elimination |
1 |
|
iterative filter |
1 |
|
iterative filtering |
1 |
|
iterative filtering decomposition |
1 |
|
iterative toeplitz filter |
1 |
|
k-support norm |
1 |
|
kaczmarz method |
1 |
|
lagrange multiplier |
1 |
|
lattice boltzmann method |
1 |
|
lattice quantization |
1 |
|
lattice tilings and packings |
1 |
|
learning |
1 |
|
linear convergence |
1 |
|
linear independence over the rationals |
1 |
|
link prediction |
1 |
|
lipschitz equivalence |
1 |
|
local cut points |
1 |
|
local spectral evolution kernel |
1 |
|
logarithmic commensurability |
1 |
|
low dose |
1 |
|
low rank matrix recovery |
1 |
|
low-light |
1 |
|
low-light image |
1 |
|
low-light images |
1 |
|
low-pass filter |
1 |
|
low-rank |
1 |
|
low-rank matrix recovery |
1 |
|
magnetic dipole |
1 |
|
magnetic dipole moment |
1 |
|
majorization |
1 |
|
martingale convergence theorem |
1 |
|
mask |
1 |
|
matchable condition |
1 |
|
matrix analysis |
1 |
|
matrix completion |
1 |
|
matrix factorization |
1 |
|
maximum mean discrepancy |
1 |
|
measurement number |
1 |
|
mendelian randomization |
1 |
|
message passing |
1 |
|
middle-third cantor set |
1 |
|
minimal ifs |
1 |
|
missing-attribute graph |
1 |
|
mode decomposition |
1 |
|
multifractal dimension |
1 |
|
multiplicative tiling |
1 |
|
multiplicative tilings |
1 |
|
multiscale algorithms |
1 |
|
multiscale image processing |
1 |
|
multiwavelet |
1 |
|
neural network |
1 |
|
neural networks |
1 |
|
newman polynomial |
1 |
|
nft transaction data |
1 |
|
node classification |
1 |
|
noise estimation |
1 |
|
noise modeling |
1 |
|
noise reduction |
1 |
|
noisy graph |
1 |
|
non-convex optimizaton |
1 |
|
non-fungible token (nft) |
1 |
|
non-fungible tokens (nfts) |
1 |
|
non-integer dilation |
1 |
|
non-uniform gabor basis |
1 |
|
nonnegative mask |
1 |
|
nonseparable wavelets |
1 |
|
nonstationary process |
1 |
|
null space property |
1 |
|
numerically erasure robust frame (nerf) |
1 |
|
occluded projection data |
1 |
|
orthogonal refinable function |
1 |
|
orthogonal refinable function vector |
1 |
|
orthogonality criteria |
1 |
|
over-parametrization |
1 |
|
over-sampled fourier transform |
1 |
|
overlapping domain decomposition method |
1 |
|
parallel computing |
1 |
|
partial differential equation |
1 |
|
partial differential equation transform |
1 |
|
partial unwrapping |
1 |
|
pcm |
1 |
|
peano space-filling curve |
1 |
|
peripheral circle |
1 |
|
perturbed amplitude flow |
1 |
|
phase wrap-around aliasing |
1 |
|
phaseless reconstruction |
1 |
|
pinns |
1 |
|
pisot numbers |
1 |
|
pleiotropy |
1 |
|
poisson summation formula |
1 |
|
polynomial functional equation |
1 |
|
polynomial phase signal |
1 |
|
primal-dual algorithm |
1 |
|
primary 45p05 |
1 |
|
principal homogeneous polynomial |
1 |
|
projected gradient descent |
1 |
|
ptychography |
1 |
|
pulse code modulation |
1 |
|
pulse code modulation scheme |
1 |
|
quadratic programming |
1 |
|
qualitative study |
1 |
|
quantization |
1 |
|
quantum integers |
1 |
|
quantum polynomial |
1 |
|
quasi-product form |
1 |
|
quasi-trigonometric polynomial |
1 |
|
radar |
1 |
|
rademacher complexity |
1 |
|
radio frequency identification (rfid) |
1 |
|
random matrices |
1 |
|
random power series |
1 |
|
random sampling |
1 |
|
randomized kaczmarz |
1 |
|
randomized kaczmarz algorithm |
1 |
|
rank minimization |
1 |
|
rank-one |
1 |
|
rational n-reptile |
1 |
|
redundancy |
1 |
|
redundant representations |
1 |
|
refinable function |
1 |
|
refinable functions |
1 |
|
refinable spline |
1 |
|
refinement equation |
1 |
|
refinement equations |
1 |
|
regularity |
1 |
|
regularity of refinable functions |
1 |
|
regularization parameter estimation |
1 |
|
relu3 neural network |
1 |
|
restricted isometry property |
1 |
|
retinex |
1 |
|
retinex theory |
1 |
|
reverberation |
1 |
|
risk bound |
1 |
|
robustness |
1 |
|
roots of trigonometric polynomials |
1 |
|
ruelle operator |
1 |
|
salem numbers |
1 |
|
sample structure |
1 |
|
sampling expansions |
1 |
|
scattering transform |
1 |
|
selection bias |
1 |
|
self-affine multi-tile |
1 |
|
self-affine tile |
1 |
|
self-similar measure |
1 |
|
self-similar measures |
1 |
|
self-similar set |
1 |
|
self-similar sets |
1 |
|
self-similar subsets |
1 |
|
sentence length |
1 |
|
set of uniqueness |
1 |
|
shallow cnn with identity mapping |
1 |
|
shallow fully convolutional neural network |
1 |
|
shannon's sampling series |
1 |
|
shape prior |
1 |
|
shift-invariant spaces |
1 |
|
sifting algorithm |
1 |
|
sigma-delta modulation |
1 |
|
sigma-delta quantization |
1 |
|
signal reconstruction |
1 |
|
signal recovery |
1 |
|
simultaneous tiling |
1 |
|
single image dehazing |
1 |
|
singular value decomposition |
1 |
|
singular value expansion |
1 |
|
singular values |
1 |
|
smooth orthogonal scaling function |
1 |
|
smooth truncated amplitude-gaussian metric |
1 |
|
sobolev spaces |
1 |
|
social computing |
1 |
|
sparse classifiers |
1 |
|
sparse coding |
1 |
|
sparse matrices |
1 |
|
sparse principal component analysis |
1 |
|
sparse representation |
1 |
|
sparse representations |
1 |
|
sparse signals |
1 |
|
sparsity |
1 |
|
spectral measure |
1 |
|
spectral mollifier |
1 |
|
spectral set |
1 |
|
spectral sets |
1 |
|
spectral tetris |
1 |
|
stochastic gradient descent |
1 |
|
stochastic optimization |
1 |
|
structure of tilings |
1 |
|
stylometry |
1 |
|
sub-gaussian measurements |
1 |
|
subdivision scheme |
1 |
|
sublinear-time algorithms |
1 |
|
subspace clustering |
1 |
|
substitutable |
1 |
|
substitutive systems |
1 |
|
symplectic equivalence |
1 |
|
synthesis operator |
1 |
|
ternary expansions |
1 |
|
the hyper-gaussian function |
1 |
|
the paley-wiener space |
1 |
|
tight |
1 |
|
tight frame |
1 |
|
tight frame matrix |
1 |
|
tight frames |
1 |
|
tikhonov regularization |
1 |
|
tiling |
1 |
|
tiling sets |
1 |
|
time-frequency lattices |
1 |
|
toeplitz operator |
1 |
|
total variation |
1 |
|
touching structure |
1 |
|
training data |
1 |
|
translation |
1 |
|
translational tiles |
1 |
|
transversal magnetization |
1 |
|
transversality condition |
1 |
|
traveling salesman problem |
1 |
|
truncated fourier data |
1 |
|
trust |
1 |
|
two-phase flows in porous media |
1 |
|
understanding people |
1 |
|
uniform contraction ratio |
1 |
|
uniform decay |
1 |
|
unit norm tight frames |
1 |
|
vaccine equity |
1 |
|
vakmans argument |
1 |
|
valence |
1 |
|
variance reduction |
1 |
|
variational methods |
1 |
|
variational model |
1 |
|
vector quantization |
1 |
|
virtual communities |
1 |
|
viscosity ratio |
1 |
|
visual analytics |
1 |
|
voronoi cell |
1 |
|
w-disjoint orthogonality (wdo) |
1 |
|
wasserstein distance |
1 |
|
wavelets; orthogonal scaling function; symmetric scaling function |
1 |
|
waveletset |
1 |
|
weierstrass factorization theorem |
1 |
|
weight sensing |
1 |
|
weyl sum |
1 |
|
wf |
1 |
|
white noise hypothesis |
1 |
|
xct image reconstruction |
1 |
|
xfel single particle imaging |
1 |
|
β α-encoder |
1 |
|
β-encoder |
1 |
|
β-expansion |
1 |
